找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Data Science, Classification, and Related Methods; Proceedings of the F Chikio Hayashi,Keiji Yajima,Yasumasa Baba Conference proceedings 19

[复制链接]
查看: 40926|回复: 39
发表于 2025-3-21 19:19:57 | 显示全部楼层 |阅读模式
书目名称Data Science, Classification, and Related Methods
副标题Proceedings of the F
编辑Chikio Hayashi,Keiji Yajima,Yasumasa Baba
视频video
概述Helps the reader to gather data and to use search tools for analyzing and interpreting large and complex data sets.Presents a wide field of applications of interest not only to data analysts, mathemat
丛书名称Studies in Classification, Data Analysis, and Knowledge Organization
图书封面Titlebook: Data Science, Classification, and Related Methods; Proceedings of the F Chikio Hayashi,Keiji Yajima,Yasumasa Baba Conference proceedings 19
描述This volume, Data Science, Classification, and Related Methods, contains a selection of papers presented at the Fifth Conference of the International Federation of Oassification Societies (IFCS-96), which was held in Kobe, Japan, from March 27 to 30,1996. The volume covers a wide range of topics and perspectives in the growing field of data science, including theoretical and methodological advances in domains relating to data gathering, classification and clustering, exploratory and multivariate data analysis, and knowledge discovery and seeking. It gives a broad view of the state of the art and is intended for those in the scientific community who either develop new data analysis methods or gather data and use search tools for analyzing and interpreting large and complex data sets. Presenting a wide field of applications, this book is of interest not only to data analysts, mathematicians, and statisticians but also to scientists from many areas and disciplines concerned with complex data: medicine, biology, space science, geoscience, environmental science, infonnation science, image and pattern analysis, economics, statistics, social sciences, psychology, cognitive science, behavi
出版日期Conference proceedings 1998
关键词calculus; classification; data analysis; decision making; multidimensional scaling; data structures
版次1
doihttps://doi.org/10.1007/978-4-431-65950-1
isbn_softcover978-4-431-70208-5
isbn_ebook978-4-431-65950-1Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightSpringer Japan 1998
The information of publication is updating

书目名称Data Science, Classification, and Related Methods影响因子(影响力)




书目名称Data Science, Classification, and Related Methods影响因子(影响力)学科排名




书目名称Data Science, Classification, and Related Methods网络公开度




书目名称Data Science, Classification, and Related Methods网络公开度学科排名




书目名称Data Science, Classification, and Related Methods被引频次




书目名称Data Science, Classification, and Related Methods被引频次学科排名




书目名称Data Science, Classification, and Related Methods年度引用




书目名称Data Science, Classification, and Related Methods年度引用学科排名




书目名称Data Science, Classification, and Related Methods读者反馈




书目名称Data Science, Classification, and Related Methods读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 23:41:49 | 显示全部楼层
Cluster Validationrrect conclusions, by validating the results of a cluster analysis. The paper provides an overview of recent work in this area of cluster validation. Material covered includes: the distinction between external, internal, and relative clustering indices; types of null model, including ‘data-influence
发表于 2025-3-22 04:23:06 | 显示全部楼层
Fitting Graphs and Trees with Multidimensional Scaling Methodsework for fitting a particular class of graphs, which includes additive trees, hierarchical trees and circumplex structures. It is shown how to parametrize this fitting problem in terms of a lattice of subsets, and how inclusion relations between feature sets lead to additivity of distance along pat
发表于 2025-3-22 05:59:46 | 显示全部楼层
Classification and data analysis in financeistorical context is given. It is shown that the emerging of modern finance was made possible due to use of quantitative methods. The presented applications are divided into two main groups: 1) analysis of financial investments and markets, 2) corporate finance. The review is put in the framework wh
发表于 2025-3-22 11:54:00 | 显示全部楼层
发表于 2025-3-22 14:29:43 | 显示全部楼层
Some Trends in the Classification of Variableshe integral transformation by the (probabilistic) distribution function of some suitable sample statistics. Some properties of those methods we have studied are remembered and/or derived here. Applications on either simulated or real data set have shown this approach performs better than the traditi
发表于 2025-3-22 19:52:30 | 显示全部楼层
发表于 2025-3-22 22:43:59 | 显示全部楼层
发表于 2025-3-23 03:02:47 | 显示全部楼层
发表于 2025-3-23 09:27:07 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-4-30 08:02
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表